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CautiousLearning  

Control Charts with Guaranteed In-Control Performance and Cautious Parameters Learning
View on CRAN: Click here


Download and install CautiousLearning package within the R console
Install from CRAN:
install.packages("CautiousLearning")

Install from Github:
library("remotes")
install_github("cran/CautiousLearning")

Install by package version:
library("remotes")
install_version("CautiousLearning", "1.0.1")



Attach the package and use:
library("CautiousLearning")
Maintained by
Giovanna Capizzi
[Scholar Profile | Author Map]
First Published: 2019-07-15
Latest Update: 2019-07-18
Description:
Design and use of control charts for detecting mean changes based on a delayed updating of the in-control parameter estimates. See Capizzi and Masarotto (2019) for the description of the method.
How to cite:
Giovanna Capizzi (2019). CautiousLearning: Control Charts with Guaranteed In-Control Performance and Cautious Parameters Learning. R package version 1.0.1, https://cran.r-project.org/web/packages/CautiousLearning. Accessed 04 Apr. 2025.
Previous versions and publish date:
1.0 (2019-07-15 11:50)
Other packages that cited CautiousLearning R package
View CautiousLearning citation profile
Other R packages that CautiousLearning depends, imports, suggests or enhances
Complete documentation for CautiousLearning
Functions, R codes and Examples using the CautiousLearning R package
Some associated functions: CautiousLearning-package . cautiousLearning . design . omp . simulation . 
Some associated R codes: RcppExports.R . cautiousLearning.R . design.R . init.R .  Full CautiousLearning package functions and examples
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